Optimum aeration strategies for shallow tidally flushed lakes. Shallow tidally flushed lakes frequently suffer from water quality problems which include catastrophic fish kills. Frequently these events are related to the response of a highly modified system to a natural event. One event is the change from a saline to a fresh environment with seasonal freshwater inflow, in which case the salt tolerant algal species dies. The balance between photosynthesis, sediment uptake, surface oxygen transfer ....Optimum aeration strategies for shallow tidally flushed lakes. Shallow tidally flushed lakes frequently suffer from water quality problems which include catastrophic fish kills. Frequently these events are related to the response of a highly modified system to a natural event. One event is the change from a saline to a fresh environment with seasonal freshwater inflow, in which case the salt tolerant algal species dies. The balance between photosynthesis, sediment uptake, surface oxygen transfer and flushing is lost, with the result that the lake quickly becomes anoxic, resulting in fish kills. This project examines some aeration solutions to this problem.Read moreRead less
Dynamic Release Mechanisms for Phosphorus in Shallow Ponds and Lakes. Phosphorus release from submerged sediments is controlled by the physical and chemical environment. The mechanisms are well understood where thermal stratification is persistent but the behaviour during transient episodes has not been properly addressed. The aim is to study a dynamic chemical and hydraulic environment and develop a model of phosphorus release under these conditions. Algal blooms, which rely on high nutrient co ....Dynamic Release Mechanisms for Phosphorus in Shallow Ponds and Lakes. Phosphorus release from submerged sediments is controlled by the physical and chemical environment. The mechanisms are well understood where thermal stratification is persistent but the behaviour during transient episodes has not been properly addressed. The aim is to study a dynamic chemical and hydraulic environment and develop a model of phosphorus release under these conditions. Algal blooms, which rely on high nutrient concentrations, pose a significant threat to waterways yet a process-based description of phosphorus release is not yet possible. The outcome will be a verified model of phosphorus release mechanisms suitable for a range of water bodies.Read moreRead less
Traffic microsimulation of ITS implementations in CBD road networks. This research project will investigate the advantages and disadvantages of using Intelligent Transport Systems (ITS) technologies in an Australian Central Business District (CBD) environment. It is often assumed that road networks and especially high activity areas such as CBDs can benefit significantly from ITS implementations. Traditionally ITS impacts have been difficult to quantify due to difficulties in isolating network ....Traffic microsimulation of ITS implementations in CBD road networks. This research project will investigate the advantages and disadvantages of using Intelligent Transport Systems (ITS) technologies in an Australian Central Business District (CBD) environment. It is often assumed that road networks and especially high activity areas such as CBDs can benefit significantly from ITS implementations. Traditionally ITS impacts have been difficult to quantify due to difficulties in isolating network effects and limitations with traditional traffic models. The project will overcome this difficulty by using a current state of the art traffic microsimulation model in order to test various ITS scenarios in a duplicate of a real world CBD.Read moreRead less
Advancing water pollution emissions modelling in cities of the future. Advancing water pollution emissions modelling in cities of the future. This project aims to advance stormwater pollution modelling and enhance its link with urban development. Management of stormwater pollution by industry often results in inadequate strategies and, crucially, sub-optimal financial investments. Since this is unlikely to improve in light of urban growth and climate change, addressing decade-old pollution model ....Advancing water pollution emissions modelling in cities of the future. Advancing water pollution emissions modelling in cities of the future. This project aims to advance stormwater pollution modelling and enhance its link with urban development. Management of stormwater pollution by industry often results in inadequate strategies and, crucially, sub-optimal financial investments. Since this is unlikely to improve in light of urban growth and climate change, addressing decade-old pollution modelling knowledge gaps and the lack of a multidisciplinary approach to stormwater pollution management is urgent. The anticipated outcome is a modelling tool which industry can use to manage stormwater pollution in changing cities through smarter and economic technology and policy.Read moreRead less
Design Rationale for Gated Canal Estates. This project will provide new knowledge on how to design gated canal estates to maximise their water quality and avoid events leading to the development of poor, and even harmful, water quality. It will document this new knowledge as Engineering Design Guidelines, which can be implemented to minimise adverse water quality impacts. A User Manual will also be developed to document the application of water quality decision support systems for use in designi ....Design Rationale for Gated Canal Estates. This project will provide new knowledge on how to design gated canal estates to maximise their water quality and avoid events leading to the development of poor, and even harmful, water quality. It will document this new knowledge as Engineering Design Guidelines, which can be implemented to minimise adverse water quality impacts. A User Manual will also be developed to document the application of water quality decision support systems for use in designing canal estates. This project will foster technology transfer from the research environment to the private and public sectors, also enabling a student to complete a PhD program.Read moreRead less
Improved Management of Australian Port Infrastructure by Development of Predictive Ageing Simulation. Exposure of built infrastructure to corrosive marine conditions causes deterioration and reduced service life. Asset managers lack predictive models of in-service durability. Using data gathered from Australian ports, life-cycle predictions will be developed, simulating durability and incorporating geographical location, structure type, composition, and levels of maintenance. The modelling has ....Improved Management of Australian Port Infrastructure by Development of Predictive Ageing Simulation. Exposure of built infrastructure to corrosive marine conditions causes deterioration and reduced service life. Asset managers lack predictive models of in-service durability. Using data gathered from Australian ports, life-cycle predictions will be developed, simulating durability and incorporating geographical location, structure type, composition, and levels of maintenance. The modelling has not been undertaken on Australian port assets, whereas international models reflect very different infrastructure and exposures and are based on simpler 2D conditions that do not simulate actual deterioration. The three-dimensional (3D) modelling and graphics will be unique worldwide, providing decision support for construction and maintenance.Read moreRead less
A microbiological risk assessment model for the use of reclaimed water in irrigated horticulture. The volume of reclaimed water used in Australia is increasing. A major use of reclaimed water is irrigation of horticultural crops. There are considerable associated risks including contamination of soil and plants and accidental ingestion of harmful pathogens. Whilst research on many risks has been conducted, there are knowledge gaps and information is not readily available to managers. The centr ....A microbiological risk assessment model for the use of reclaimed water in irrigated horticulture. The volume of reclaimed water used in Australia is increasing. A major use of reclaimed water is irrigation of horticultural crops. There are considerable associated risks including contamination of soil and plants and accidental ingestion of harmful pathogens. Whilst research on many risks has been conducted, there are knowledge gaps and information is not readily available to managers. The central aim of this project will be to develop a new, comprehensive mathematical risk assessment model able to simulate different irrigation and horticultural scenarios. The primary output will be a user-friendly environmental decision support system incorporating the newly developed model.Read moreRead less
Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provi ....Data-driven water quality treatment management decision support system. Data-driven water quality treatment management decision support system. This project aims to develop a robust decision support system to predict manganese and the character and concentration of dissolved organic matter in drinking water reservoirs, using intelligent algorithms and data collected through remote autonomous instrumentation. These predicted water quality parameters could be used as model input variables to provide real-time decisions for plant operators on the required treatment regime for incoming raw water, and advise them on the optimal reservoir offtake depth. This will potentially minimise treatment costs and health risks for consumers. The ultimate goal is to significantly enhance current water supply management practices.Read moreRead less
A novel physical-digital approach for the assessing a large critical asset. This project aims to deliver an artificial intelligence-enabled decision-making tool to maintain and manage the floating covers of vast lagoons that treat raw sewage. The cover harvests the biogas released from the anaerobic digestion of sewage for electric power generation that exceeds the plant’s requirement. The approach involves an innovative thermographic technique and exploits transfer learning to adapt neural netw ....A novel physical-digital approach for the assessing a large critical asset. This project aims to deliver an artificial intelligence-enabled decision-making tool to maintain and manage the floating covers of vast lagoons that treat raw sewage. The cover harvests the biogas released from the anaerobic digestion of sewage for electric power generation that exceeds the plant’s requirement. The approach involves an innovative thermographic technique and exploits transfer learning to adapt neural networks trained on lab-scale and synthetic data to field implementation. The outcome is a machine learning framework to optimise biogas harvesting and renewable energy generation, and to avoid structural failure, that is capable of continuous improvement to take into account improved data and/or modelling capabilities.Read moreRead less
Smart management of disinfectant in chloraminated water-supply systems. Smart management of disinfectant in chloraminated water-supply systems. This project aims to develop an adaptive, real-time control system for managing disinfectant residuals in chloraminated water supply systems. While chloramine delivers microbiologically safe drinking water in warmer climates and in long distribution systems, it is largely unpredictable, costs water utilities millions of dollars annually, and has uncertai ....Smart management of disinfectant in chloraminated water-supply systems. Smart management of disinfectant in chloraminated water-supply systems. This project aims to develop an adaptive, real-time control system for managing disinfectant residuals in chloraminated water supply systems. While chloramine delivers microbiologically safe drinking water in warmer climates and in long distribution systems, it is largely unpredictable, costs water utilities millions of dollars annually, and has uncertain benefits. This project’s control system will be guided by quantitative models formulated from multi-pronged, fundamental experiments. The project will quantify microbial chloramine decay and determine mechanisms to increase predictability. The project will develop and demonstrate a real-time control technology which delivered microbiologically safe, cost-efficient drinking water to people in warmer climates, despite warming climate and increasing population.Read moreRead less